{"nbformat": 4, "metadata": {"orig_nbformat": 3}, "cells": [{"source": "# A quick tour of IPython Notebook", "cell_type": "markdown", "metadata": {}}, {"source": "This tour will work a little better in interactive mode, so it'll be better if you get IPython notebook installed and running. You can start it from a terminal by running\n\n`ipython notebook`", "cell_type": "markdown", "metadata": {}}, {"source": "First, we need to explain how to run cells. Try to run the cell below!", "cell_type": "markdown", "metadata": {}}, {"cell_type": "code", "execution_count": null, "outputs": [], "source": "import pandas as pd\n\nprint \"Hi! This is a cell. Press the \u25b6 button above to run it\"", "metadata": {"collapsed": false, "trusted": false}}, {"source": "You can also run a cell with Ctrl+Enter or Shift+Enter. Experiment a bit with that.", "cell_type": "markdown", "metadata": {}}, {"source": "One of the most useful things about IPython notebook is its tab completion. \n\nTry this: click just after read_csv( in the cell below and press Shift+Tab (or Tab if you're using IPython 1.x) 4 times, slowly", "cell_type": "markdown", "metadata": {}}, {"cell_type": "code", "execution_count": null, "outputs": [], "source": "pd.read_csv(", "metadata": {"collapsed": false, "trusted": false}}, {"source": "After the first time, you should see this:\n